GCP Data engineer
Zensar Technologies
2 - 5 years
Bengaluru
Posted: 28/06/2026
Job Description
Key Responsibilities
- Pipeline Development: Design, develop, and maintain end-to-end ETL/ELT pipelines using Python and PySpark.
- Big Data Processing: Build large-scale data processing frameworks to handle structured and unstructured data, ensuring high performance and reliability.
- Cloud Infrastructure: Architect and manage data solutions within the GCP ecosystem, focusing on cost-efficiency and security.
- Data Modeling: Design and implement robust data warehouse models (Star/Snowflake schemas) and data lake architectures.
- Optimization: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery for greater scalability.
- Collaboration: Work closely with stakeholders to understand data requirements and translate them into technical specifications.
Technical Qualification
- sCore Programming: Strong proficiency in Python, including experience with libraries like Pandas, NumPy, and logging frameworks
- .Big Data: 3+ years of hands-on experience with Apache Spark (PySpark) for distributed data processing
- .GCP Ecosystem: Practical experience with Google Cloud services, specifically
- :BigQuery (Optimization, Partitioning, Clustering)
- .Cloud DataProc or Dataflow
- .Cloud Storage (GCS) and Cloud Functions
- .Cloud Composer (Apache Airflow) for orchestration
- .Data Warehousing: Solid understanding of relational databases and SQL (PostgreSQL, MySQL) as well as NoSQL environments
- .DevOps & Tools: Experience with Git, Docker, and CI
Services you might be interested in
We Search & Apply Jobs for You!
Our team scans through 1000s of opportunities and applies to roles best suited to your profile
Save 100+ hours and focus on what matters - cracking interviews and landing offers.
